Bilal Hassan Khan
Principal Consultant, Research and Program Evaluations
Bilah has twenty-five years of experience in management, design, analysis, and technical assistance in survey research and application of quantitative and qualitative research methods in monitoring and evaluation. He possesses strong expertise in sample design, sampling weighting, and calibration, and raking techniques for survey bias correction. Additionally, he has strong statistical and survey data analysis skills and expertise, including complex sample data analysis techniques for univariate, bivariate, and multivariate complex survey data analysis. His technical skills include basic and advanced social statistical analysis; multiple regression (OLS, logit, probit, count models, duration models, etc.), multilevel regression, modern machine learning regression techniques, etc. Bilah has strong experience in leading, training, and technical assistance of program evaluations using surveys and extensive secondary data, as well as causal inference and impact evaluation research design and analytical skills; RCTs, propensity score matching, matching using re-weighting, the difference in difference, combination of the difference in difference with matching, synthetic control analysis, fixed effect regression, IPTW regression, doubly robust regression, instrumental variables, regression discontinuity designs, etc. He also has experience and expertise in panel survey designs and analysis for causal inference and impact evaluation. Bilah was the focal point for quantitative aspects of monitoring and evaluation as Director Survey Unit, USAID Monitoring and Evaluation Program/MSI, in Pakistan. Lastly, hes knowledge in manipulating and analyzing data using SPSS, Stata, and Zelig (R interface) statistical software.
