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What are the unique challenges of conducting clinical research?
Ethical and regulatory approvals, patient recruitment, clinical trial liability insurance, compliance, potential side effects, need for clinical expertise.
Ethical and regulatory approvals, patient recruitment, clinical trial liability insurance, compliance, potential side effects, need for clinical expertise.
See lessHow do I incorporate patient-centric approaches in my research?
Engage patients in the research process, consider their perspectives, and prioritize their needs.
Engage patients in the research process, consider their perspectives, and prioritize their needs.
See lessWhat are the key statistical concepts a health sciences student should know?
: Descriptive statistics (mean, median, mode, standard deviation), hypothesis testing, p-values, confidence intervals, correlation analysis, regression analysis, survival analysis, and appropriate statistical tests based on study design (t-test, ANOVA, chi-square test).
: Descriptive statistics (mean, median, mode, standard deviation), hypothesis testing, p-values, confidence intervals, correlation analysis, regression analysis, survival analysis, and appropriate statistical tests based on study design (t-test, ANOVA, chi-square test).
See lessHow do I choose the right statistical test for my research?
Consider the type of data (numerical, categorical), study design (experimental, observational), research question, and the number of variables involved. Consult a statistician at KAHER, if needed. Please discuss with your Guide/Supervisor. You may also contact R & D Cell to help you facilitate tRead more
Consider the type of data (numerical, categorical), study design (experimental, observational), research question, and the number of variables involved. Consult a statistician at KAHER, if needed. Please discuss with your Guide/Supervisor. You may also contact R & D Cell to help you facilitate this.
See lessWhat are the essential aspects of data collection to ensure proper statistical analysis?
Clear study protocol, well-defined inclusion/exclusion criteria, appropriate sample size calculation, accurate data collection methods, and data quality checks. We suggest you develop ‘Data Collection Forms (DCF)’, and get this reviewed by your Guide/Supervisor, so that your collection of data is plRead more
Clear study protocol, well-defined inclusion/exclusion criteria, appropriate sample size calculation, accurate data collection methods, and data quality checks. We suggest you develop ‘Data Collection Forms (DCF)’, and get this reviewed by your Guide/Supervisor, so that your collection of data is planned and managed properly. Remember that ‘no data leads to no research’, and all data must be ALCOA-C compliant.
See lessHow do I deal with missing data in my analysis?
A p-value indicates the probability of observing a result at least as extreme as the one observed, assuming the null hypothesis is true. A confidence interval provides a range of values within which the true population parameter is likely to fall with a certain level of confidence.
A p-value indicates the probability of observing a result at least as extreme as the one observed, assuming the null hypothesis is true. A confidence interval provides a range of values within which the true population parameter is likely to fall with a certain level of confidence.
See lessWhat is the difference between a p-value and a confidence interval, and how do I interpret them?
A p-value indicates the probability of observing a result at least as extreme as the one observed, assuming the null hypothesis is true. A confidence interval provides a range of values within which the true population parameter is likely to fall with a certain level of confidence.
A p-value indicates the probability of observing a result at least as extreme as the one observed, assuming the null hypothesis is true. A confidence interval provides a range of values within which the true population parameter is likely to fall with a certain level of confidence.
See lessWhat statistical methods are suitable for case-control studies?
It is advisable to use odds ratios to assess the association between exposure and disease, considering potential confounding factors.
It is advisable to use odds ratios to assess the association between exposure and disease, considering potential confounding factors.
See less