menu
{ "item_title" : "Advanced Statistical Methods in Life Science", "item_author" : [" Basavarajaiah D. M.", "Narasimhamurthy B "], "item_description" : "This book introduces the principles and foundations of advanced statistical methods for designing experiments and testing hypotheses in life sciences. Advanced statistical methods, such as testing of hypotheses, recent methods of sample size determination/imputation, estimation techniques, probability distributions, and univariate analysis demonstrated with real data, and their integration into life sciences are included in this book. Advanced topics are presented with sufficient conceptual depth and examples to explain the use of recent statistical techniques and to demonstrate what conclusions can be drawn at the right time using modeling in life science research.Key features: Explains the derivation of statistical models to prove disease transmission using massive real-world datasets to explore practical applicability Incorporates the application of innovative advanced statistical and epidemiological models and demonstrates the possible solutions for public health policy intervention Helps to understand the process of hypothesis testing in small or larger observations by using weighted parameters Presents suitable examples and real-life research datasets, and all models can easily be followed in formulating statistical and mathematical derivations and key points Includes machine learning (ML), statistical methods for meta-analysis, testing of hypotheses, methods of imputation, estimation techniques, probability distributions, univariate analysis, and recent nonparametric methods, all illustrated through actual data This textbook is for students and scholars of various courses in life sciences, medicine, mathematics, and statistical science. It will also help academicians and researchers to understand the foundation of this topic.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/03/271/153/1032711531_b.jpg", "price_data" : { "retail_price" : "235.00", "online_price" : "235.00", "our_price" : "235.00", "club_price" : "235.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Advanced Statistical Methods in Life Science|Basavarajaiah D. M.

Advanced Statistical Methods in Life Science

local_shippingShip to Me
On Order. Usually ships in 2-4 weeks
FREE Shipping for Club Members help

Overview

This book introduces the principles and foundations of advanced statistical methods for designing experiments and testing hypotheses in life sciences. Advanced statistical methods, such as testing of hypotheses, recent methods of sample size determination/imputation, estimation techniques, probability distributions, and univariate analysis demonstrated with real data, and their integration into life sciences are included in this book. Advanced topics are presented with sufficient conceptual depth and examples to explain the use of recent statistical techniques and to demonstrate what conclusions can be drawn at the right time using modeling in life science research.

Key features:

  • Explains the derivation of statistical models to prove disease transmission using massive real-world datasets to explore practical applicability
  • Incorporates the application of innovative advanced statistical and epidemiological models and demonstrates the possible solutions for public health policy intervention
  • Helps to understand the process of hypothesis testing in small or larger observations by using weighted parameters
  • Presents suitable examples and real-life research datasets, and all models can easily be followed in formulating statistical and mathematical derivations and key points
  • Includes machine learning (ML), statistical methods for meta-analysis, testing of hypotheses, methods of imputation, estimation techniques, probability distributions, univariate analysis, and recent nonparametric methods, all illustrated through actual data

This textbook is for students and scholars of various courses in life sciences, medicine, mathematics, and statistical science. It will also help academicians and researchers to understand the foundation of this topic.

This item is Non-Returnable

Details

  • ISBN-13: 9781032711539
  • ISBN-10: 1032711531
  • Publisher: CRC Press
  • Publish Date: July 2025
  • Page Count: 324

Related Categories

You May Also Like...

    1

BAM Customer Reviews