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So far AM has created 65 blog entries.

Allergic Patients

Pfizer approached our statistical consulting team with a critical question: Is there a significant effect of allergies on treatment responses? Pfizer was committed to ensuring the effectiveness of their products and needed to investigate this matter thoroughly. We undertook a meticulous data analysis to address the research question and evaluate the hypothesis.

The foundation of this research project was a robust dataset comprising survey responses from 13,000 patients collected over 10 years, allowing for a thorough examination of the influence of allergies on patients’ treatment responses. The central hypothesis guiding the research efforts was as follows: H1 – There is a significant effect of allergies on treatment responses. The research rigorously tested this hypothesis, seeking to determine whether allergies had a statistically significant impact on the effectiveness of treatments.

We performed a linear regression analysis using Stata’s statistical software to evaluate the hypothesis. Linear regression is a powerful statistical technique for examining the relationship between a continuous predictor variable (allergies) and a continuous outcome variable (treatment responses). The analysis yielded compelling findings that provided valuable insights into the client’s inquiry.

The research results indicated a statistically significant effect of allergies […]

By |2024-01-24T15:05:41+00:00January 15th, 2024|Biostatistics, Business|Comments Off on Allergic Patients

Relative Risk of Lung Cancer

The National Institute of Health funded a research project to address a critical public health concern about lung cancer risk and the intervention of smoking cessation. The study aimed to investigate lung cancer’s relative risk (RR) and its potential variation between the intervention of smoking cessation and control groups over time. The goal was to understand the impact of interventions of smoking cessation on the risk of lung cancer, which is crucial for informed decision-making and improved health outcomes.

The project used a comprehensive survey dataset, which formed the foundation of the research. The dataset comprised survey responses from 12,000 patients collected over six years, allowing for a longitudinal examination of the RR of lung cancer among both intervention and control groups.

The hypothesis postulated a significant difference in the RR of lung cancer between the intervention of smoking cessation and control groups over time. The analysis utilized a mixed Analysis of Variance (ANOVA), a robust statistical method for examining the effects of both between-subjects factors (intervention vs. control group) and within-subjects factors (changes over time) on a continuous outcome variable (RR of lung cancer). 

The analysis yielded compelling findings […]

By |2024-01-24T15:07:21+00:00January 15th, 2024|Academia, Biostatistics, Hospital|Comments Off on Relative Risk of Lung Cancer

Internet Use

The National Science Foundation funded a project to explore the effect of internet use on perceived performance. With the increasing integration of technology into education and daily life, the client sought to investigate whether the extent of internet use had a discernible effect on how individuals perceived their performance.

To comprehensively address this research question, a project team was granted access to a substantial dataset consisting of survey responses from a diverse group of 8,000 students. This comprehensive study spanned three years, enabling a longitudinal examination of the relationship between internet use and perceived performance.

The dataset was primarily composed of survey data, which provided valuable insights into students’ internet usage patterns and their self-assessment of performance. This dataset served as the foundation for analysis, enabling researchers to delve into the potential effects of internet usage on individuals’ perceived performance levels.

The hypothesis was as follows: H1 – There is a significant effect of internet use on perceived performance. The objective was to rigorously test the hypothesis to determine whether internet use statistically affected individuals’ perceptions of their performance.

We conducted linear regression using the statistical software SPSS to address the research question and evaluate […]

By |2024-01-24T15:08:42+00:00January 15th, 2024|Academia, Statistics|Comments Off on Internet Use

Firm Type

Apple, interested in learning about the effect of firm types on performance, approached our team. Apple sought to understand the underlying factors contributing to performance and identify potential areas.

To tackle this problem, we had access to a substantial dataset primarily consisting of survey data. The data comprised demographic information related to 9,000 firms, and the study spanned six years. This rich dataset served as the foundation for our analysis, providing valuable insights into the characteristics of the firms under investigation.

The hypothesis was as follows: H1 – There is a significant difference in performance based on firm type over time. We aimed to test the hypothesis rigorously and determine whether firm type indeed played an important role in influencing performance outcomes.

We conducted a mixed Analysis of Variance (ANOVA) using the statistical software Stata to analyze the data and evaluate our hypothesis. A mixed ANOVA was chosen as the appropriate analytical method because it allowed us to compare the means of performance across multiple categories of firm types over time, thus helping us identify any statistically significant differences.

Our findings from the mixed ANOVA analysis were pivotal in shedding […]

By |2024-01-24T15:20:24+00:00January 15th, 2024|Stat Business, Statistics|Comments Off on Firm Type

Painkillers & Chronic Pain

Novartis engaged our team to conduct a comprehensive survey-based study investigating the effect of painkillers on chronic pain management. The study’s objective was to provide healthcare providers and patients with valuable insights into the effectiveness of pain medications in managing this challenging condition.

We built the research project on a substantial dataset of 11,000 patient survey responses collected over nine years. The central hypothesis guiding the study was H1 – Painkillers significantly affect chronic pain. The team conducted logistic regression analysis through the statistical software SPSS. The aim was to assess the effect of predictor variables, in this case, painkillers, on a binary outcome variable, i.e., the presence or absence of chronic pain.

The analysis yielded compelling findings that provided valuable insights into the effectiveness of pain medications in alleviating chronic pain. The research results indicated a statistically significant effect of painkillers on chronic pain management. This discovery highlighted the importance of painkillers in the management of chronic pain and underscored their effectiveness in providing relief.

Novartis derived several benefits from this research endeavor. By understanding the significant effect of painkillers on chronic pain, Novartis gained a deeper understanding of […]

By |2024-01-24T20:32:55+00:00January 15th, 2024|Biostatistics, Business|Comments Off on Painkillers & Chronic Pain

Bending Stiffness

Johnson & Johnson entrusted our team with conducting a research initiative to explore the variations in bending stiffness and strength based on fiber diameter. The objective was to understand the relationships between these critical properties and fiber diameter, paramount for developing and optimizing pharmaceutical products.

The foundation of this research project was a massive dataset comprising survey responses from 12,000 patients collected over six years, providing a robust platform for examining the differences in bending stiffness and strength based on fiber diameter.

The research’s central hypothesis was as follows: H1 – There are significant differences in bending stiffness and strength based on fiber diameter. We used Multivariate Analysis of Variance (MANOVA) using SPSS to test this hypothesis rigorously.

The analysis yielded compelling findings that provided valuable insights into Johnson & Johnson’s inquiry. The research results confirmed the presence of statistically significant differences in bending stiffness and bending strength based on variations in fiber diameter. These findings underscored the importance of fiber diameter as a critical factor influencing the mechanical properties of pharmaceutical products.

Johnson & Johnson derived valuable insights from this research endeavor. By confirming the significant differences in bending stiffness and strength based on […]

By |2024-01-24T20:34:57+00:00January 15th, 2024|Biostatistics, Business|Comments Off on Bending Stiffness

Marketing Strategy

Accenture Interactive hired our team because it noticed a divergence in consumer behavior and brand image associated with its various marketing strategies. We recognized the importance of understanding these differences and delved deeper into the dynamics between marketing strategies and consumer perceptions. To do so, we had access to a substantial dataset of survey responses from 5,000 consumers spanning two years.

The dataset primarily comprised survey data, which allowed us to gather valuable insights into consumer preferences, perceptions, and behaviors. The hypothesis was as follows: H1: There is a statistically significant difference in consumer behavior and brand image based on the various marketing strategies. We tested the hypothesis using Multivariate Analysis of Variance (MANOVA), utilizing the statistical software SPSS to conduct the analysis. MANOVA is most appropriate for assessing whether there are statistically significant differences in multiple dependent variables across different groups or levels of an independent variable, which aligns perfectly with the project’s objectives of comparing the effects of various marketing strategies on consumer behavior and brand image.

The findings from our MANOVA analysis were pivotal in addressing Accenture Interactive’s initial concern. Our results revealed a statistically significant difference […]

By |2024-01-24T20:36:15+00:00January 14th, 2024|Stat Business, Statistics|Comments Off on Marketing Strategy

Energy Savings

NextEra Energy sought to explore the effect of solar panel installation on homeowners’ energy savings. Recognizing the growing interest in renewable energy sources and sustainability, NextEra Energy embarked on a comprehensive research initiative to investigate whether adopting solar panels led to significant home energy savings.

To address this inquiry comprehensively, we had access to a substantial dataset of survey responses from a significant sample of 12,000 homeowners. The study spanned a comprehensive seven-year period, providing valuable longitudinal insights into the relationship between solar panel installation and homeowners’ energy savings.
We utilized survey responses to gather pertinent information related to homeowners’ energy usage, installation of solar panels, and the resulting energy savings. This dataset served as the foundation for our analysis, enabling us to delve deep into the potential effects of solar panel adoption on homeowners’ energy efficiency.

The hypothesis was H1 – Solar panel installation significantly affects homeowners’ energy savings. To rigorously test this hypothesis, we employed logistic regression, utilizing the statistical software R. We selected logistic regression as the appropriate analytical method due to its suitability for modeling binary outcomes, which was the presence or absence of significant energy savings.

The findings from our […]

By |2024-01-24T20:37:38+00:00January 12th, 2024|Stat Business, Statistics|Comments Off on Energy Savings

Cancer

Massachusetts General Hospital, a Harvard Medical School teaching hospital, approached AMSTAT consulting to investigate the safety and potential health risks of blood transfusions. Specifically, the hospital aimed to determine whether there was a significant difference in cancer risk among recipients who had undergone blood transfusions. The consulting team utilized a comprehensive survey-based study to achieve this goal, collecting responses from 8,000 patients over two years.

The central hypothesis guiding this research project was as follows: H1: There is a significant difference in cancer risk among recipients based on blood transfusions. The team rigorously tested this hypothesis using a chi-square test, a powerful statistical tool for assessing the association between categorical variables.

Contrary to the initial hypothesis, the research results indicated no statistically significant difference in cancer risk among recipients based on whether they had undergone blood transfusions. This finding showed that blood transfusions were not associated with increased cancer risk in this patient population.

Massachusetts General Hospital derived valuable insights from this research endeavor. By learning that there was no significant effect of blood transfusions on cancer risk, Massachusetts General Hospital gained reassurance regarding the safety of this medical procedure for cancer development. This […]

By |2024-01-24T20:38:53+00:00January 11th, 2024|Biostatistics, Hospital|Comments Off on Cancer

Compound D-600

Roche embarked on a research endeavor to investigate the effect of compound D-600 on gluconeogenesis, which is a crucial metabolic process that affects human health. Roche recognized the significance of this relationship in advancing medical knowledge and drug development and sought statistical consulting to conduct a comprehensive survey-based study.

The foundation of this research project was a substantial dataset comprising survey responses from 24,000 patients collected over eight years. This dataset provided a comprehensive platform for examining the potential relationship between compound D-600 and gluconeogenesis.

The central hypothesis guiding the research was as follows: H1: There is a significant relationship between compound D-600 and gluconeogenesis, and the study aimed to test this hypothesis rigorously. We performed linear regression analysis using the statistical software SPSS, a robust statistical method for assessing the impact of a predictor variable (compound D-600) on a continuous outcome variable (gluconeogenesis).

The analysis yielded compelling findings that provided valuable insights into the inquiry. The research results indicated a statistically significant effect of compound D-600 on gluconeogenesis, underscoring its potential impact on the complex metabolic process and its relevance to medical research and drug development.

Roche derived valuable insights from this research endeavor, […]

By |2024-01-24T20:40:43+00:00January 10th, 2024|Biostatistics, Business|Comments Off on Compound D-600
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