Marzan Kazi Rubye
Descriptive statistics, probability distributions, hypothesis testing, regression analysis, survival analysis, Bayesian methods, and multivariate analysis to analyze biological and health-related data.
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Mohammad Nurunnabi
Descriptive Statistics: Summarizing data using measures like mean, median, standard deviation, and frequency distributions. Inferential Statistics: Drawing conclusions from sample data using hypothesis testing, confidence intervals, and p-values. Regression Analysis: Modeling relationships between variables (e.g., linear, logistic, or Cox regression). Survival Analysis: Analyzing time-to-event data, often using Kaplan-Meier curves and hazard ratios. Bayesian Methods: Incorporating prior knowledge with observed data for probabilistic inference. Nonparametric Methods: Making inferences without assuming specific data distributions (e.g., Wilcoxon tests). Multivariate Analysis: Examining multiple variables simultaneously (e.g., PCA, MANOVA). Longitudinal Data Analysis: Analyzing repeated measurements over time. Meta-Analysis: Combining results from multiple studies to estimate overall effects.
Biostatistics employs various statistical methods, including:
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Abu-Hussein Muhamad
Biostatistics consulting services is a branch of statistics that combines statistics and biology by applying traditional statistical techniques to public health and clinical trials. A biostatistician makes connections – or finds gaps – to determine, for example, whether an identified treatment is safe and effective.
In short, biostatisticians turn publicly available public health and clinical trial data into actionable knowledge.
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