EXPERIENCED BIOSTATISTICIAN

As an experienced statistician and PhD finalist with over 15 years of expertise in quantitative analysis, I offer comprehensive services for Chapter 4/5 of your thesis or research paper. My advanced skills encompass a wide range of statistical techniques and methodologies, as outlined below:

1. Proposal Development

• Study Design & Sampling: Expertise in developing research proposals, including designing robust study frameworks and determining appropriate sampling methods to ensure reliable and valid results.

2. Univariate Analysis

• Data Description: Conduct detailed analyses including frequencies, means, and standard deviations for continuous data. Proficient in creating tables and graphs for clear and effective data presentation.

3. Bivariate Analysis

• Correlation Analysis: Skilled in performing pairwise correlation analyses, including Spearman’s rank correlation for non-parametric data and Pearson’s correlation for normally distributed data.

4. Likert Scale Data Analysis

• Reliability & Normality Tests: Expertise in assessing reliability using Cronbach’s alpha, and performing normality tests such as the Wilk-Shapiro test, skewness, and kurtosis analysis.

5. Hypothesis Testing

• Parametric & Non-Parametric Tests: Experience with a range of hypothesis tests including paired t-tests for parametric data, and Wilcoxon sign-rank tests and Kruskal-Wallis tests for non-parametric data.

6. Multivariate Analysis

• Regression Models: Advanced skills in conducting regression analyses for ordinal, count, categorical, and binary outcomes using methods such as Ordinary Least Squares (OLS), Partial/Pooled Effects, Factor Analysis, and Principal Component Analysis.

7. Pathway Analysis & Structural Equation Modeling (SEM)

• SEM Expertise: Proficient in SEM techniques including model specification, estimation, and interpretation of post-estimation results to explore complex relationships among variables.

8. Time-Series & Econometric Models

• Advanced Econometrics: Expertise in time-series analysis and econometric models including ARCH, ARDL, stationarity tests, VAR, VEC, and Granger causality tests.

9. Survival Analysis

• Epidemiological Modeling: Skilled in survival analysis techniques including setting up data for survival analysis, calculating prevalence and incidence rates, and applying Cox proportional hazards regression and Kaplan-Meier survival functions.

10. Multicollinearity & Endogeneity Checks

• Pre-Model Testing: Experienced in checking for multicollinearity using Variance Inflation Factor (VIF) in STATA, and assessing endogeneity issues to ensure the robustness of regression models.

11. Software Proficiency

• Statistical Tools: Advanced/expert level proficiency in STATA, EViews, and Excel; intermediate skills in SPSS, R, SAS, and EPI Info. Capable of providing rapid turnaround for analysis, interpretation, and documentation within 5 days.

For professional support and consultation in quantitative analysis and modeling for your research needs, feel free to contact me at 0732177216.