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Quantitative Analysis

Quantitative Analysis

Quantitative analysis is a technique for measuring the amount of specific constituents in a sample. When the sample's composition is unknown, qualitative analysis is performed first to identify its components, which ensures that the correct substances are measured during the quantitative phase.
In quantitative analysis, two key measurements are made: the sample quantity and a property proportional to the amount of the analyte (the substance being analyzed). This forms the basis of the...

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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...

Random Sampling Method

Random Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...

Cross-Sectional Research

Cross-Sectional Research

In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...

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Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.

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An experimental design is a systematic process that allows researchers to evaluate the relationship between dependent and independent variables. There are three widely used types of experimental design - pre-experimental design, true experimental design, and quasi-experimental design. In pre-experimental design, the researcher compares the data before and after some interventions or treatments. The true-experimental design has more than one purposefully created group, a commonly measured...

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Related Experiment Video

Updated: Sep 7, 2025

Improving Student Outcomes with an Adaptable Molecular Cloning Course-Based Undergraduate Research Experience

Improving Student Outcomes with an Adaptable Molecular Cloning Course-Based Undergraduate Research Experience

Published on: November 15, 2024

A model for an undergraduate research experience program in quantitative sciences.

Kay See Tan¹, Elena B Elkin², Jaya M Satagopan³

¹Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, USA.

Journal of Statistics and Data Science Education : an Official Journal of the of the American Statistical Association

|June 20, 2022

Summary

This summary is machine-generated.

This program trained undergraduates in quantitative oncology research at a cancer center. It enhanced students' research skills and statistical knowledge, preparing them for graduate studies or oncology research careers.

Keywords:

analysis of biomedical data applied statistics internship computational biology experiential learning mentoring statistical training

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Published on: August 13, 2012

Area of Science:

Oncology
Epidemiology
Biostatistics

Background:

Undergraduate training in quantitative sciences for oncology is limited.
Freestanding comprehensive cancer centers offer unique interdisciplinary training environments.

Purpose of the Study:

To describe the development and implementation of a summer research experience program.
To cultivate undergraduate students' interest and aptitude in quantitative oncology.

Main Methods:

Faculty-mentored research projects.
Instructional programs for research skills and domain knowledge.
Professional development activities.

Main Results:

Improved student competence in research skills and statistical knowledge.
Majority pursued graduate degrees in quantitative fields or oncology research roles.

Conclusions:

The program successfully enhanced students' quantitative research skills and career trajectories.
This training model is adaptable for organizations seeking to develop similar programs.