Biostatistics
What is biostatistics? Discuss the various importance
of biostatistics
Biostatistics or biometry is a branch of Biological science which applies mathods of
statistics to analyze the medical biological and pharmatical science data
Importance of biostatistics
1 Evidence based decision
Provide objective data to guide medical treatment research and health-care
2 Ensure the scientific Accuracy
Help design exprement calculate sample size and analyze results to minimize fraud and
clinical research
3 Quantify risk and efficiency
Measurements the effectiveness of drugs and intervention and quantify health risk
4 Realved Hidden pattern
Under trend in health disease spread and biological phenomena from large data base
Discuss the Details various Application of
biostatistics
1 Clinical trial and drug
Designing traits ovulating drug safety and efficacy and ensuring statically sound results
2 Public health:Analyze disease rate monitoring auto break like covid 19
modelling identifying health disparities and guiding intervention
3 Epidemiology: studying disease pattern risk factor and the interaction of
genetics with environment to predict disease
4 Genetics Analyzing genetics data to find genes linked to disease and
understood genetics risk
, 5 Health care Policy
Informing policy decision by providing data on pollution health resources allocation and
program effectiveness
6 Defiding Normality
Establishing normal ranges for physiological measurements ( blood pressure,
cholesterol to data abnormalities
What is Data
Data are collected through observation, experiments, surveys, or records.
Type of data
1 Categorial Data
non-numerical data that describe qualities, characteristics, or categories.
Qualitative data cannot be measured in numbers but can be classified into groups.
Normal Data: categories with no inherent order or ranking e.g eye color,gender
Ordinal Data: categories with a meaningful order but the interval between categories
may be not be equal e.g satisfied rating
2 Numerical data
Numerical data consist of Numerical values that represent measurable quantities.
Arithmetic operation can be performed on this data
Direct data : countable values that are distinct and separate often whole number
Continue data: measurable values that can take on any value within range including
fraction and decimals
Different between categorial and Numerical data
Data:
Basis of Difference Numerical Data Categorical Data
Meaning Data expressed in Data expressed in
numbers categories or groups
Nature Quantitative Qualitative
What is biostatistics? Discuss the various importance
of biostatistics
Biostatistics or biometry is a branch of Biological science which applies mathods of
statistics to analyze the medical biological and pharmatical science data
Importance of biostatistics
1 Evidence based decision
Provide objective data to guide medical treatment research and health-care
2 Ensure the scientific Accuracy
Help design exprement calculate sample size and analyze results to minimize fraud and
clinical research
3 Quantify risk and efficiency
Measurements the effectiveness of drugs and intervention and quantify health risk
4 Realved Hidden pattern
Under trend in health disease spread and biological phenomena from large data base
Discuss the Details various Application of
biostatistics
1 Clinical trial and drug
Designing traits ovulating drug safety and efficacy and ensuring statically sound results
2 Public health:Analyze disease rate monitoring auto break like covid 19
modelling identifying health disparities and guiding intervention
3 Epidemiology: studying disease pattern risk factor and the interaction of
genetics with environment to predict disease
4 Genetics Analyzing genetics data to find genes linked to disease and
understood genetics risk
, 5 Health care Policy
Informing policy decision by providing data on pollution health resources allocation and
program effectiveness
6 Defiding Normality
Establishing normal ranges for physiological measurements ( blood pressure,
cholesterol to data abnormalities
What is Data
Data are collected through observation, experiments, surveys, or records.
Type of data
1 Categorial Data
non-numerical data that describe qualities, characteristics, or categories.
Qualitative data cannot be measured in numbers but can be classified into groups.
Normal Data: categories with no inherent order or ranking e.g eye color,gender
Ordinal Data: categories with a meaningful order but the interval between categories
may be not be equal e.g satisfied rating
2 Numerical data
Numerical data consist of Numerical values that represent measurable quantities.
Arithmetic operation can be performed on this data
Direct data : countable values that are distinct and separate often whole number
Continue data: measurable values that can take on any value within range including
fraction and decimals
Different between categorial and Numerical data
Data:
Basis of Difference Numerical Data Categorical Data
Meaning Data expressed in Data expressed in
numbers categories or groups
Nature Quantitative Qualitative
