it is prospective cohort study
it's concurrent
Concurrent power
Concurrent Powers
concurent powers
Concurrent
A cohort study is considered primary literature because it involves original research conducted by the authors.
Quantitative
Occupation
behavior
Age.
A panel study involves repeatedly collecting data from the same individuals over time to study changes within the same group. A cohort study follows a group of individuals who share a common characteristic or experience over time to see how their outcomes differ. The key difference is that in a panel study, the same individuals are followed over time, while in a cohort study, different individuals may be added to the study group over time.
The characteristic used to form the cohort in this study is drug abuse. The scientist is collecting health data on individuals who share this common characteristic of being drug abusers.
The characteristic used to form the cohort in this study would be drug abuse. The cohort would consist of individuals who are drug abusers, and the scientist would collect data on their health outcomes over time to investigate relationships between drug abuse and health.
The cohort in this study was formed based on the shared characteristic of being born in 1976. This characteristic allows the scientist to follow this group of individuals over time to observe their health outcomes.
Age
Meta-analysis is not inherently "better" than a cohort study; rather, they serve different purposes. Meta-analysis combines the results of multiple studies to provide a more comprehensive overview of a topic, while a cohort study follows a group of individuals over time to examine the effects of certain exposures. Both study designs have their own strengths and limitations, and their appropriateness depends on the research question being addressed.
The number of people in a cohort study can vary widely depending on the research question, study design, and available resources. Cohort studies can range from small groups of a few dozen participants to large populations involving thousands or even millions of individuals. Researchers typically aim for a sample size that is sufficient to achieve statistical power and draw meaningful conclusions about the associations being studied. Ultimately, the specific number is determined by the study's objectives and methodology.