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Biostatistics Internship

Join NTHRYS for a Biostatistics Internship to explore the application of statistical methods to biological and health sciences, focusing on data analysis, experimental design, and epidemiology.

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Biostatistics Internship

Advanced Focused Areas for Interns in Biostatistics Internships

Internships in 200+ fields

Info @ +91-7993084748
Fee as low as Rs 6000 / 10 Days Duration
Click Here for Application Process
Important Note
Note 1: Candidates may select any one of the focused areas listed below for their internship.
Note 2: Fundamental concepts are provided as guidance for candidates who require them; however, candidates may choose to bypass these sections if desired.
Note 3: All candidates will gain practical, hands-on experience with every step outlined in the provided methodology.
Note 4: Comprehensive placement assistance and career guidance will be available to all candidates during and after the internship.
Note 5: We understand that many students may lack basic practical exposure due to shortcomings in their college education. This is not the fault of the students but rather a failure of the institutions and their staff. At NTHRYS, our staff excel at training every student from the ground up, ensuring they gain the necessary skills and experience.
Back to All Internships Biostatistics Internship Fee Details
  1. Descriptive Statistics
  2. Inferential Statistics
  3. Probability Theory
  4. Hypothesis Testing
  5. Regression Analysis
  6. Survival Analysis
  7. Biostatistical Methods in Epidemiology
  8. Clinical Trial Design
  9. Bayesian Statistics
  10. Longitudinal Data Analysis
  11. Genomic Data Analysis
  12. Non-Parametric Methods
  13. Multivariate Analysis
  14. Meta-Analysis
  15. Machine Learning in Biostatistics
  16. Statistical Genetics
  17. Sampling Methods
  18. Bioinformatics Statistics
  19. Spatial Statistics
  20. Time Series Analysis
  21. Statistical Software
  22. Censored Data Analysis
  23. Biostatistics in Public Health
  24. Predictive Modeling
  25. Risk Assessment
  26. Statistical Consulting
  27. Biostatistics in Genetic Epidemiology
  28. Statistical Bioinformatics
  29. Design and Analysis of Experiments
  30. Data Visualization
  31. Statistical Inference
  32. Biostatistics in Pharmacokinetics
  33. Statistical Computing
  34. Mixed-Effects Models
  35. Statistical Methods for Omics Data
  36. Biostatistics in Cancer Research
  37. Biostatistical Simulation Techniques
  38. Survival Data Modeling
  39. Biostatistics in Epidemiological Studies
  40. Statistical Quality Control
  41. Statistical Methods in Environmental Health
  42. Adaptive Clinical Trial Designs
  43. Biostatistics in Health Economics
  44. Statistical Methods in Precision Medicine
  45. Statistical Learning in Biostatistics
  46. Data Mining Techniques in Biostatistics
  47. Biostatistics in Mental Health Research
  48. Epidemiological Study Design
  49. Statistical Methods in Clinical Research

  1. Descriptive Statistics Topics

    Focuses on the summarization and description of data sets, including measures of central tendency, variability, and graphical representation techniques.

  2. Inferential Statistics Topics

    Studies the methods for making inferences about a population based on a sample, including confidence intervals, hypothesis testing, and the use of p-values.

  3. Probability Theory Topics

    Focuses on the mathematical foundation of statistics, including the study of random variables, probability distributions, and the laws of probability.

  4. Hypothesis Testing Topics

    Studies the methods for testing hypotheses in statistical research, including the formulation of null and alternative hypotheses, type I and type II errors, and the use of test statistics.

  5. Regression Analysis Topics

    Focuses on the modeling of relationships between variables, including linear and nonlinear regression, multiple regression, and logistic regression analysis.

  6. Survival Analysis Topics

    Studies the statistical methods for analyzing time-to-event data, including the Kaplan-Meier estimator, Cox proportional hazards model, and competing risks analysis.

  7. Biostatistical Methods in Epidemiology Topics

    Focuses on the application of biostatistical techniques in epidemiological research, including the analysis of incidence and prevalence data, risk assessment, and the study of disease outbreaks.

  8. Clinical Trial Design Topics

    Studies the statistical principles of designing clinical trials, including randomization, blinding, sample size determination, and the analysis of clinical trial data.

  9. Bayesian Statistics Topics

    Focuses on the application of Bayesian methods in biostatistics, including the use of prior distributions, posterior distributions, and Bayesian inference in data analysis.

  10. Longitudinal Data Analysis Topics

    Studies the statistical methods for analyzing data collected over time, including mixed-effects models, growth curve analysis, and the handling of missing data.

  11. Genomic Data Analysis Topics

    Focuses on the statistical methods for analyzing genomic data, including the study of gene expression, genetic association studies, and the integration of multi-omics data.

  12. Non-Parametric Methods Topics

    Studies statistical methods that do not assume a specific distribution for the data, including the use of rank-based tests, resampling methods, and kernel density estimation.

  13. Multivariate Analysis Topics

    Focuses on the analysis of data with multiple variables, including techniques such as principal component analysis, factor analysis, and multivariate regression.

  14. Meta-Analysis Topics

    Studies the statistical methods for combining results from multiple studies, including the use of fixed-effects and random-effects models, publication bias, and the interpretation of pooled estimates.

  15. Machine Learning in Biostatistics Topics

    Focuses on the application of machine learning techniques in biostatistics, including the use of supervised and unsupervised learning, model validation, and predictive modeling.

  16. Statistical Genetics Topics

    Studies the application of statistical methods in genetics, including the analysis of genetic linkage, association studies, and the estimation of heritability.

  17. Sampling Methods Topics

    Focuses on the techniques for selecting representative samples from populations, including simple random sampling, stratified sampling, and cluster sampling.

  18. Bioinformatics Statistics Topics

    Studies the statistical methods used in bioinformatics, including the analysis of sequence data, protein structure prediction, and the study of biological networks.

  19. Spatial Statistics Topics

    Focuses on the analysis of spatially correlated data, including the study of spatial point patterns, geostatistics, and the modeling of spatial relationships in biological data.

  20. Time Series Analysis Topics

    Studies the statistical methods for analyzing time-ordered data, including autoregressive models, moving average models, and the analysis of trends and seasonality.

  21. Statistical Software Topics

    Focuses on the use of software tools for statistical analysis, including the use of R, SAS, SPSS, and other platforms for data manipulation, analysis, and visualization.

  22. Censored Data Analysis Topics

    Studies the statistical methods for analyzing censored data, including techniques for dealing with right-censored, left-censored, and interval-censored data in survival analysis.

  23. Biostatistics in Public Health Topics

    Focuses on the application of biostatistics in public health research, including the analysis of population health data, the study of health disparities, and the evaluation of public health interventions.

  24. Predictive Modeling Topics

    Studies the development and validation of models for predicting outcomes based on biological and clinical data, including the use of logistic regression, decision trees, and machine learning techniques.

  25. Risk Assessment Topics

    Focuses on the statistical methods for assessing risk in health research, including the estimation of relative risk, odds ratios, and the analysis of risk factors in epidemiological studies.

  26. Statistical Consulting Topics

    Studies the practice of providing statistical expertise in research, including the design of studies, data analysis, and the interpretation and communication of statistical results.

  27. Biostatistics in Genetic Epidemiology Topics

    Focuses on the application of biostatistics in the study of the genetic basis of disease, including the analysis of genetic associations, gene-environment interactions, and the heritability of traits.

  28. Statistical Bioinformatics Topics

    Studies the integration of statistical methods in bioinformatics, including the analysis of high-throughput data, the study of gene expression, and the development of statistical models for biological processes.

  29. Design and Analysis of Experiments Topics

    Focuses on the statistical principles of experimental design, including the use of randomization, control groups, factorial designs, and the analysis of experimental data.

  30. Data Visualization Topics

    Studies the techniques for visualizing biological data, including the use of graphs, charts, and interactive tools to represent complex data sets and statistical results.

  31. Statistical Inference Topics

    Focuses on the methods for making inferences about populations based on sample data, including the use of estimation, confidence intervals, and hypothesis testing.

  32. Biostatistics in Pharmacokinetics Topics

    Studies the application of statistical methods in pharmacokinetics, including the analysis of drug absorption, distribution, metabolism, and excretion, and the modeling of pharmacokinetic data.

  33. Statistical Computing Topics

    Focuses on the use of computational methods in biostatistics, including the development of algorithms, the use of simulation techniques, and the application of computational tools in data analysis.

  34. Mixed-Effects Models Topics

    Studies the use of mixed-effects models in biostatistics, including the analysis of data with both fixed and random effects, and the application of these models in longitudinal and hierarchical data analysis.

  35. Statistical Methods for Omics Data Topics

    Focuses on the statistical analysis of omics data, including genomics, transcriptomics, proteomics, and metabolomics, and the development of methods for integrating and interpreting multi-omics data.

  36. Biostatistics in Cancer Research Topics

    Studies the application of biostatistics in cancer research, including the analysis of cancer incidence and survival data, the design of clinical trials, and the study of genetic and environmental risk factors.

  37. Biostatistical Simulation Techniques Topics

    Focuses on the use of simulation techniques in biostatistics, including the development of Monte Carlo simulations, bootstrapping methods, and the application of simulation in the design and analysis of studies.

  38. Survival Data Modeling Topics

    Studies the statistical methods for modeling survival data, including the use of proportional hazards models, parametric survival models, and the analysis of competing risks.

  39. Biostatistics in Epidemiological Studies Topics

    Focuses on the application of biostatistics in epidemiology, including the design and analysis of cohort, case-control, and cross-sectional studies, and the interpretation of epidemiological data.

  40. Statistical Quality Control Topics

    Studies the statistical methods for quality control in biostatistics, including the use of control charts, process capability analysis, and the application of statistical methods in quality assurance.

  41. Statistical Methods in Environmental Health Topics

    Focuses on the application of statistical methods in environmental health research, including the analysis of environmental exposure data, risk assessment, and the study of environmental determinants of health.

  42. Adaptive Clinical Trial Designs Topics

    Studies the statistical methods for adaptive clinical trial designs, including the use of interim analyses, sample size re-estimation, and the application of adaptive designs in drug development.

  43. Biostatistics in Health Economics Topics

    Focuses on the application of biostatistics in health economics, including the analysis of cost-effectiveness data, health outcomes research, and the modeling of economic evaluations in healthcare.

  44. Statistical Methods in Precision Medicine Topics

    Studies the statistical methods used in precision medicine, including the analysis of genetic and genomic data, the development of predictive models, and the integration of personalized treatment strategies.

  45. Statistical Learning in Biostatistics Topics

    Focuses on the application of statistical learning techniques in biostatistics, including the use of machine learning algorithms, model selection methods, and the analysis of high-dimensional data.

  46. Data Mining Techniques in Biostatistics Topics

    Studies the application of data mining techniques in biostatistics, including the use of clustering, classification, and association rule mining to uncover patterns and relationships in biological data.

  47. Biostatistics in Mental Health Research Topics

    Focuses on the application of biostatistics in mental health research, including the analysis of psychiatric epidemiology data, the design of mental health studies, and the development of statistical models for mental health outcomes.

  48. Epidemiological Study Design Topics

    Studies the design of epidemiological studies, including the selection of study populations, the determination of sample sizes, and the application of statistical methods to control for confounding and bias.

  49. Statistical Methods in Clinical Research Topics

    Focuses on the application of statistical methods in clinical research, including the analysis of clinical trial data, the study of treatment effects, and the development of guidelines for statistical reporting in clinical studies.

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Note: Interns get complete handson exposure to all steps in the allocated methodology.
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