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Hi we are introducing online group reading lesson. Learn with your friends, cousins, neighbors. 1 hour /R550 a group of 5 students per class. Call /whatsapp us on 0798571862 or email wetutorulearn@gmail.com
Sunninghill
♂️ Group Cycle Test Revision – School-Based!
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Johannesburg CBD
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Randburg
I having over 7 years experience tutoring accounting and am offering online 2hr lessons at a rate of R350 per lesson. Do contact me if your ready to PASS. First lesson is always FREE
Sunninghill
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Hillcrest
I coach people on how to act and what to say when they go for job interviews.
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In 28years of being employed i have had 21 job interviews if which i was offered the job 20 times which is a 98% success rate.
Centurion
I offer one on one private tutorials for Pure Maths 1, Pure Maths 2 & Statistics 1 (British Curriculum). In addition I also offer tutorials for Zimbabwean foreign nationals sitting for the Zimsec O level Maths Exams.
Hatfield
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Bryanston
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Tutorial classes for the last forty years
3mo
1
Remedial online extra classes with a seasoned and results driven tutor. Extra lessons. For registration click the following link. Extra lessons registration form link: https://bit.ly/4hxOcAN
5mo
1
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Sage Cloud Accounting Training at affordable rate. book your one on one Sage Accounting now. contact 0737356075
1mo
Durbanville1
SavedSave
For all your research needs.
*
Research proposals.
* Dissertation write up
* Data collection
*Data analysis
* Plagiarism checks and correction
*Editing and many more
Undergrad/ Masters/ PhD
Call or Whatsup : 0848933286 / 0670890298
Email: matekofreeman90@mail.com
5mo
1
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If you're having any trouble with theory or map work, I can help.
Seasoned, retired Geog teacher with years of matric marking experience at your service!
6mo
4
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I offer Assignments, Projects, KCQs, Online exams, Proposal & dissertation assistance for all university courses/modules from Certificate to PhD level.
Colleges and Universities: I cover all universities and colleges including but not limited to UNISA, MANCOSA, REGENT, DUT, UJ, WITS, IMM, UKZN, VARSITY, MILPARK, PEARSON and many other universities/colleges I have not mentioned
Academic Level: Certificates, Diplomas, Degrees, Honours, Post graduate, Masters and PhD level.
Can assist with regards to assignments and projects (including but not limited to): Accounting and Finance, Financial Planning, Taxation, Capital Budgeting, Financial Management, Information and knowledge Management, Strategic Management, Managerial Finance, Marketing Management, Qualitative Methods and Business Research, Business Statistics, Contemporary Human Resource Management (HRM), Human Resource Development (HRD), Communication, Entrepreneurship, Corporate Strategy, Business Ethics, Business Law, Commercial Law, Project Management, Purchasing Management, Managerial Economics, Research and Quantitative Methods, Organisational Behaviour, Leadership, Income Tax Planning, Supply chain Management, Business Mathematics, Dissertation and Proposal, Capstone Project, Operation Management and Many Others.
Turnaround time: 2-3 days.
Exclusive Features: Satisfaction Guaranteed, Affordable and flexible pricings, Plagiarism-free work, Privacy and confidentiality
Contact number: WhatsApp call/message me on婢 084 603 7111 more or drop me an email.
Follow this link to chat with us privately Message Wee on WhatsApp. https://wa.me/27846037111
10mo
City CentreLesson 1: The first lesson is meant to be an introduction to the desktop program, solutions, and the installation of the program itself.
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Lesson 2: The second lesson involves the dashboard for the program’s desktop. It would involve going such things as excel data, dashboards, working with the creation and modification of reports, etc.
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Lesson 3: The third lesson is on data sources like, CSV
files and Excel.
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Lesson 4: The fourth is about visualizations in regards to text, charts, etc.
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Lesson 5: The fifth lesson covers data selection such as, using slicers and filtering data.
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Lesson 6: The sixth covers learning how to enhance the dashboards, like shapes, colors in the background, text boxes, etc.
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Lesson 7: In the seventh lesson, you will learn about
PowerBI.com and what it includes. Among other things, it would include learning about how to share the dashboards as well as creating new ones, gateways, and how to use the files on the Desktop.
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Lesson 8:The final lesson is about best practices, like stakeholders, system impact, and learning how to design your reports and dashboards.
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10mo
Sandton1
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I offer Sage One Payroll Training, to book your Training WhatsApp 0735036737. Note a Trainer will be dispatched to your location to conduct one on one Training alternatively training can be conducted over Skype or Zoom. Kindly see Training outline below.
Company Setup
• Create a Company
• Company Details
• Create a new pay cycle
• Manage cycles & pay periods
• Set up Benefit Funds
• Global Payslip Definitions
Employees
• Add an employee
• Employee Details
• End employee’s employment
• Delete an employee
Leave
• Leave Setup
• Employee Leave Details
• Employee Leave Transactions
• How to pay weekly and biweekly employees for annual leave
• Leave Reports
Process Payroll
• Payroll
• Process Payslip
• Benefit Details
• Private Benefits
• ACB Setup
• Print or email payslips
Reports and Submissions
• Monthly Reports
• Monthly Leave Reports
• Consolidation Reports
• UIF Declaration
• Tax Certificate Submissions
24d
DurbanvilleSavedSave
For your chapter 4 and 5 thesis chapter. Experienced STATISTICIAN/RESEARCHER and PHD Finalist with 15 plus years’ experience in quantitative analysis.
See https://www.up.ac.za/news/post_1722144-up-student-wins-fellowship-to-study-womens-empowerment-index
My Linkdin profile: https://www.linkedin.com/in/christopher-manyamba-04490713/
Also see https://researchspace.ukzn.ac.za/handle/10413/8822
I analyse, interpret and write up Chapter 4 (15-25 pages, or more), which you then discuss in Ch5.
Overall I provide the following quantitative analysis and modelling expertise;
1. Proposal development including study design and sampling;
2. Univariate analysis: Frequencies. Means and std deviations for continuous data, tables and graphs;
3. Bivariate analysis: pairwise correlation, Spearman’s for non-parametric and Pearson’s for normally distributed data;
4. For Likert scale data, reliability (Cronbach’s alpha) and normality tests (Wilk Shapiro tests, skewness, kurtosis);
5. Hypothesis testing -parametric tests e.g. paired t-tests, and non-parametric tests (e.g. Wilcoxon sign rank, Kruskal Wallis);
6. Multivariate-Regression analyses which cover ordinal, count, categorical and binary outcomes. Ordinary Least Squares (OLS), Partial/Pooled effects; Factor/Principal component analysis;
7. Pathway Analysis and Structural Equation Modelling (SEM), and its post estimation results
8. Time-series, Econometric Models: Autoregressive Conditional Heteroscedastic (ARCH) and Auto-Regressive Distributed Lag (ARDL) family models. The stepwise analysis includes setting data to time series, white noise detection (stationarity tests), Dick Fuller or P-Peroni unit root tests (VAR), Vector error correction models (VEC), Granger causality tests;
9. Survival analysis (epidemiological): Includes setting data to survival, run descriptive stats with survival analysis family of analysis. Survival analysis: Censoring, prevalence and incident rates, regression models e.g. Cox proportionate regression, interactions (log-rank, and Kaplan Meier survival functions graphs);
10. Checking multicollinearity/endogeneity-Variance Inflation Factor (VIF in STATA), or any pre-model estimation;
11. Turnaround time for analysis, interpretation and write up: In a space of 5 days;
If you need to self-tutor STATA, you can get a STATA version 15-30-day trial
1y
For your chapter 4/5 thesis or research paper. Experienced STATISTICIAN/RESEARCHER and PHD Finalist with 15 plus years’ experience in quantitative analysis. I am providing the following quantitative analysis and modelling expertise;
1. Proposal development including study design and sampling;
2. Univariate analysis: Frequencies. Means and std deviations for continuous data, tables and graphs;
3. Bivariate analysis: pairwise correlation, Spearman’s for non-parametric and Pearson’s for normally distributed data;
4. For Likert scale data, reliability (Cronbach’s alpha) and normality tests (Wilk Shapiro tests, skewness, kurtosis);
5. Hypothesis testing -parametric tests e.g. paired t-tests, and non-parametric tests (e.g. Wilcoxon sign rank, Kruskal Wallis);
6. Multivariate-Regression analyses which cover ordinal, count, categorical and binary outcomes. Ordinary Least Squares (OLS), Partial/Pooled effects; Factor/Principal component analysis;
7. Pathway Analysis and Structural Equation Modelling (SEM), and its post estimation results
8. Time-series, Econometric Models: Autoregressive Conditional Heteroscedastic (ARCH) and Auto-Regressive Distributed Lag (ARDL) family models. The stepwise analysis includes setting data to time series, white noise detection (stationarity tests), Dick Fuller or P-Peroni unit root tests (VAR), Vector error correction models (VEC), Granger causality tests;
9. Survival analysis (epidemiological): Includes setting data to survival, run descriptive stats with survival analysis family of analysis. Survival analysis: Censoring, prevalence and incident rates, regression models e.g. Cox proportionate regression, interactions (log-rank, and Kaplan Meier survival functions graphs);
10. Checking multicollinearity/endogeneity-Variance Inflation Factor (VIF in STATA), or any pre-model estimation;
11. Software experience: Excel, SPSS, STATA EViews (advanced/excellent), EPI Info (intermediate), R (intermediate), SAS (Intermediate). Turnaround time for analysis, interpretation and write up: In a space of 5 days;
If you need to self-tutor STATA, you can get a STATA version 15-30-day trial
1y
For your chapter 4/5 thesis or research paper. Experienced STATISTICIAN/RESEARCHER and PHD Finalist with 15 plus years’ experience in quantitative analysis. I am providing the following quantitative analysis and modelling expertise;
1. Proposal development including study design and sampling;
2. Univariate analysis: Frequencies. Means and std deviations for continuous data, tables and graphs;
3. Bivariate analysis: pairwise correlation, Spearman’s for non-parametric and Pearson’s for normally distributed data;
4. For Likert scale data, reliability (Cronbach’s alpha) and normality tests (Wilk Shapiro tests, skewness, kurtosis);
5. Hypothesis testing -parametric tests e.g. paired t-tests, and non-parametric tests (e.g. Wilcoxon sign rank, Kruskal Wallis);
6. Multivariate-Regression analyses which cover ordinal, count, categorical and binary outcomes. Ordinary Least Squares (OLS), Partial/Pooled effects; Factor/Principal component analysis;
7. Pathway Analysis and Structural Equation Modelling (SEM), and its post estimation results
8. Time-series, Econometric Models: Autoregressive Conditional Heteroscedastic (ARCH) and Auto-Regressive Distributed Lag (ARDL) family models. The stepwise analysis includes setting data to time series, white noise detection (stationarity tests), Dick Fuller or P-Peroni unit root tests (VAR), Vector error correction models (VEC), Granger causality tests;
9. Survival analysis (epidemiological): Includes setting data to survival, run descriptive stats with survival analysis family of analysis. Survival analysis: Censoring, prevalence and incident rates, regression models e.g. Cox proportionate regression, interactions (log-rank, and Kaplan Meier survival functions graphs);
10. Checking multicollinearity/endogeneity-Variance Inflation Factor (VIF in STATA), or any pre-model estimation;
11. Software experience: Excel, SPSS, STATA EViews (advanced/excellent), EPI Info (intermediate), R (intermediate), SAS (Intermediate). Turnaround time for analysis, interpretation and write up: In a space of 5 days;
If you need to self-tutor STATA, you can get a STATA version 15-30-day trial
1y
SavedSave
In my part time I analyse, interpret and write up chapter 4/5 thesis, in 3-5 days. I am an experienced STATISTICIAN/RESEARCHER and PHD Finalist (University of Pretoria), with 15 plus years’ experience in quantitative analysis. My experience is specifically on cross sectional and longitudinal research (econometric models and survival models) processes. I have also supervised Masters thesis. My profiles online for more
https://www.linkedin.com/in/christopher-manyamba-04490713/
http://oasis.col.org/handle/11599/3934?show=full
https://www.up.ac.za/news/post_1722144-up-student-wins-fellowship-to-study-womens-empowerment-index
https://researchspace.ukzn.ac.za/handle/10413/8822
1. Proposal development: Intro, Literature review, Methodology (study design, approach, sampling, reliability, ethical issues)
2. Univariate analysis: Frequencies. Means and std deviations for continuous data, tables and graphs;
3. Bivariate analysis: pairwise correlation, Spearman’s for non-parametric and Pearson’s for normally distributed data;
4. For Likert scale data, reliability (Cronbach’s alpha) and normality tests (Wilk Shapiro tests, skewness, kurtosis);
5. Hypothesis testing -parametric tests e.g. paired t-tests, and non-parametric tests (e.g. Wilcoxon sign rank, Kruskal Wallis);
6. Multivariate-Regression analyses which cover ordinal, count, categorical and binary outcomes. Ordinary Least Squares (OLS), Partial/Pooled effects; Factor/Principal component analysis;
7. Pathway Analysis and Structural Equation Modelling (SEM), and its post estimation results
8. Time-series, Econometric Models: Autoregressive Conditional Heteroscedastic (ARCH) and Auto-Regressive Distributed Lag (ARDL) family models. The stepwise analysis includes setting data to time series, white noise detection (stationarity tests), Dick Fuller or P-Peroni unit root tests (VAR), Vector error correction models (VEC), Granger causality tests;
9. Survival analysis (epidemiological): Includes setting data to survival, run descriptive stats with survival analysis family of analysis. Survival analysis: Censoring, prevalence and incident rates, regression models e.g. Cox proportionate regression, interactions (log-rank, and Kaplan Meier survival functions graphs);
10. Checking multicollinearity/endogeneity-Variance Inflation Factor (VIF in STATA), or any pre-model estimation;
11. Software experience: Excel, SPSS, STATA EViews (advanced/excellent), EPI Info (intermediate), R (intermediate), SAS (Intermediate). If you need to self-tutor STATA, you can get a STATA version 15-30-day trial
Whattsapp 0732177216
1y
6
SavedSave
W e o f f e r a s s i g n m e n t, d i s s e r t a t i o n, p o r t f o l i o, p r o j e c t s o l u t i o n s f r o m u n d e r g r a d u a t e t o p h d l e v e l
b a c h e l o r d e g r e e s: a r t s, a d m i n i s t r a t i o n, a u d i t i n g, a c c o u n t i n g, p s y c h o l o g y, h e a l t h s c i e n c e s a n d s o c i a l s e r v i c e s, d e v e l o p m e n t s t u d i e s, c r i m i n o l o g y, f o r e n s i c s c i e n c e s a n d t e c h n o l o g y, e n v i r o n m e n t a l m a n a g e m e n t, i n t e r n a t i o n a l r e l a t i o n s, n u r s i n g s c i e n c e h e a l t h, p o l i c e s c i e n c e, p o l i t i c s a n d p h i l o s o p h y, b a c h e l o r o f c o m m e r c e( a l l), b a c h e l o r o f c o n s u m e r s c i e n c e( a l l), b a c h e l o r o f e d u c a t i o n, s o c i a l w o r k, s o c i o l o g y, l l b b a c h e l o r o f l a w, m b a
c o u n t o n o u r q u a l i f i e d a n d e x p e r i e n c e d t e a m
c o n t a c t us at 084 603 7111
1y
5
SavedSave
French and German Tutoring
Bonjour,
Guten Morgen,
Frohes neues Jahr 2024
Je suis Jeanette a French and German
Teacher. I'm a Masters degree holder in Business administration and economics.
I worked in the educational system for seventeen years now.
I'm well travelled and will like to teach French
Or German to individuals or groups of people
I normally start with the grassroots level, intermediate and advanced level.
Please don't hesitate to contact me for your
French or German lessons on the
0027612069565
Bien a toi,
1y
SavedSave
Assignment Solutions 2024
I assist MANCOSA students with assignment solutions for
for the following courses and modules:
Whatsapp 累+27679114245
[1] Advanced Diploma
Business Management
[2] Bachelor of Commerce Accounting
[3]Bachelor of Business Admin
[4] Bachelor of Commerce Financial Management
The modules are as follows:Business Finance#Microeconomics#Business Mathematics# Economics 1A# Introduction to Financial Accounting# Economics 1B#
Taxation 2A#Financial Accounting 2A# Management Accounting and Finance 2A#Financial Accounting 2B#Auditing#Financial Accounting 3A#Management Accounting and Finance 3A#Taxation 3A#Auditing 3A#Financial Accounting 3B# Management Accounting and Finance 3B#Taxation 3B#Auditing 3B#
Whatsapp 累+27 67 911 4245
1y
For your chapter 4/5 thesis or research paper. Experienced STATISTICIAN/RESEARCHER and PHD Finalist with 15 plus years’ experience in quantitative analysis. I am providing the following quantitative analysis and modelling expertise;
1. Proposal development including study design and sampling;
2. Univariate analysis: Frequencies. Means and std deviations for continuous data, tables and graphs;
3. Bivariate analysis: pairwise correlation, Spearman’s for non-parametric and Pearson’s for normally distributed data;
4. For Likert scale data, reliability (Cronbach’s alpha) and normality tests (Wilk Shapiro tests, skewness, kurtosis);
5. Hypothesis testing -parametric tests e.g. paired t-tests, and non-parametric tests (e.g. Wilcoxon sign rank, Kruskal Wallis);
6. Multivariate-Regression analyses which cover ordinal, count, categorical and binary outcomes. Ordinary Least Squares (OLS), Partial/Pooled effects; Factor/Principal component analysis;
7. Pathway Analysis and Structural Equation Modelling (SEM), and its post estimation results
8. Time-series, Econometric Models: Autoregressive Conditional Heteroscedastic (ARCH) and Auto-Regressive Distributed Lag (ARDL) family models. The stepwise analysis includes setting data to time series, white noise detection (stationarity tests), Dick Fuller or P-Peroni unit root tests (VAR), Vector error correction models (VEC), Granger causality tests;
9. Survival analysis (epidemiological): Includes setting data to survival, run descriptive stats with survival analysis family of analysis. Survival analysis: Censoring, prevalence and incident rates, regression models e.g. Cox proportionate regression, interactions (log-rank, and Kaplan Meier survival functions graphs);
10. Checking multicollinearity/endogeneity-Variance Inflation Factor (VIF in STATA), or any pre-model estimation;
11. Software experience: Excel, SPSS, STATA EViews (advanced/excellent), EPI Info (intermediate), R (intermediate), SAS (Intermediate). Turnaround time for analysis, interpretation and write up: In a space of 5 days;
If you need to self-tutor STATA, you can get a STATA version 15-30-day trial
1y
I AM A RESEARCHER, PHD in Agricultural Economics and assist students in their assignments on the following: Business Research, Economics, Entrepreneurship, Innovation, Operations and Supply Chain Management, Strategic Human Resource Management, Strategic Financial Management, Strategic Management
Strategic Marketing Management. I also assist with dissertation (proposal writing, data collection process, analysis and write up. Analysis using SPSS and STATA for quantitative and Atals ti for qualitative data.
2y
2
SavedSave
French Tutoring
Bonjour,
Je suis Jeanette a French and German
Teacher. I'm a Masters degree holder in Business administration and economics.
I worked in the educational system for seventeen years now.
I'm well travelled and will like to teach French
Or German to individuals or groups of people
I normally start with the grassroots level, intermediate and advanced level.
Please don't hesitate to contact me for your
French or German lessons on the
0027612069565
Bien a toi,
1y
For your chapter 4/5 thesis or research paper. Experienced
STATISTICIAN/RESEARCHER and PHD Finalist with 15 plus years’ experience in
quantitative analysis. I am providing the following quantitative analysis and
modelling expertise;
1.
Proposal development
including study design and sampling;
2.
Univariate analysis: Frequencies. Means and
std deviations for continuous data, tables and graphs;
3.
Bivariate analysis:
pairwise correlation, Spearman’s for non-parametric and Pearson’s for
normally distributed data;
4.
For Likert scale data, reliability (Cronbach’s alpha) and
normality tests (Wilk Shapiro
tests, skewness, kurtosis);
5.
Hypothesis testing
-parametric tests e.g. paired t-tests, and non-parametric tests (e.g.
Wilcoxon sign rank, Kruskal Wallis);
6.
Multivariate-Regression analyses which cover
ordinal, count, categorical and binary outcomes. Ordinary Least Squares (OLS),
Partial/Pooled effects; Factor/Principal component analysis;
7.
Pathway
Analysis and Structural
Equation Modelling (SEM), and its
post estimation results
8.
Time-series,
Econometric Models: Autoregressive
Conditional Heteroscedastic (ARCH) and Auto-Regressive Distributed Lag (ARDL)
family models. The stepwise analysis includes setting data to time series,
white noise detection (stationarity tests), Dick Fuller or P-Peroni unit root
tests (VAR), Vector error correction models (VEC), Granger causality tests;
9.
Survival analysis (epidemiological): Includes
setting data to survival, run descriptive stats with survival analysis family
of analysis. Survival analysis: Censoring, prevalence and incident rates,
regression models e.g. Cox proportionate regression, interactions (log-rank,
and Kaplan Meier survival functions graphs);
10.
Checking multicollinearity/endogeneity-Variance
Inflation Factor (VIF in STATA), or any pre-model estimation;
11.
Software experience: Excel, SPSS, STATA EViews (advanced/excellent), EPI Info (intermediate), R (intermediate), SAS (Intermediate).
Turnaround time for analysis, interpretation and write up: In a space of 5 days;
12.
If you need to self-tutor STATA, you can get a
STATA version 15-30-day trial on https://www.stata.com/customer-service/evaluate-stata/ 072 3548043
2y
Certificated Natural Scientist. Statistical ScienceFor your chapter 4/5 thesis or research paper. Experienced STATISTICIAN/RESEARCHER and PHD Finalist with 15 plus years’ experience in quantitative analysis. I am providing the following quantitative analysis and modelling expertise;
1. Proposal development including study design and sampling;
2. Univariate analysis: Frequencies. Means and std deviations for continuous data, tables and graphs;
3. Bivariate analysis: pairwise correlation, Spearman’s for non-parametric and Pearson’s for normally distributed data;
4. For Likert scale data, reliability (Cronbach’s alpha) and normality tests (Wilk Shapiro tests, skewness, kurtosis);
5. Hypothesis testing -parametric tests e.g. paired t-tests, and non-parametric tests (e.g. Wilcoxon sign rank, Kruskal Wallis);
6. Multivariate-Regression analyses which cover ordinal, count, categorical and binary outcomes. Ordinary Least Squares (OLS), Partial/Pooled effects; Factor/Principal component analysis;
7. Pathway Analysis and Structural Equation Modelling (SEM), and its post estimation results
8. Time-series, Econometric Models: Autoregressive Conditional Heteroscedastic (ARCH) and Auto-Regressive Distributed Lag (ARDL) family models. The stepwise analysis includes setting data to time series, white noise detection (stationarity tests), Dick Fuller or P-Peroni unit root tests (VAR), Vector error correction models (VEC), Granger causality tests;
9. Survival analysis (epidemiological): Includes setting data to survival, run descriptive stats with survival analysis family of analysis. Survival analysis: Censoring, prevalence and incident rates, regression models e.g. Cox proportionate regression, interactions (log-rank, and Kaplan Meier survival functions graphs);
10. Checking multicollinearity/endogeneity-Variance Inflation Factor (VIF in STATA), or any pre-model estimation;
11. Software experience: Excel, SPSS, STATA EViews (advanced/excellent), EPI Info (intermediate), R (intermediate), SAS (Intermediate). Turnaround time for analysis, interpretation and write up: In a space of 5 days;
If you need to self-tutor STATA, you can get a STATA version 15-30-day trial
2y
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