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

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

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

Blood Pressure

Johns Hopkins Medicine recognized the need to understand the potential impact of cancer on their patient’s health, particularly concerning blood pressure. Johns Hopkins Medicine hired our team of statistical consultants to conduct a comprehensive investigation to determine if there were significant differences in blood pressure levels between patients diagnosed with cancer and those without cancer. The purpose of this study was to contribute to the broader understanding of health-related factors associated with cancer diagnoses.

The foundation of this research project was a substantial dataset comprising survey responses from 10,000 patients collected over four years. This dataset provided a comprehensive platform for examining the potential differences in blood pressure levels among patients with and without cancer.

We conducted a t-test to address the research question and evaluate the hypothesis using the statistical software R. A t-test is a powerful statistical method for comparing means between two groups to investigate potential differences in blood pressure levels between patients with and without cancer.

The central hypothesis guiding the research efforts was as follows: H1 – There are significant differences in blood pressure levels between patients with and without cancer. The research rigorously tested this hypothesis, seeking to […]

By |2024-01-24T20:44:03+00:00January 9th, 2024|Biostatistics, Hospital|Comments Off on Blood Pressure

Snore Fix

SnoreRx had set out to scientifically evaluate their product’s effectiveness in reducing snoring – Snore Fix, a snore-relieving throat spray. The company recognized snoring as a common sleep-related issue, which often becomes a cause of concern for individuals and their sleep partners. To undertake this research initiative, SnoreRx approached us, seeking our expertise in conducting a comprehensive survey-based study.

We built the foundation of this research project on survey responses collected from 6,000 patients over two years. The study provided a comprehensive platform for exploring the potential impact of Snore Fix on snoring.

The hypothesis was as follows: H1 – Subjects using Snore Fix are less likely to snore than subjects in the placebo group. We aimed to test this hypothesis rigorously and determine whether Snore Fix had a statistically significant effect on reducing snoring compared to a placebo. We used a t-test, a robust statistical method for comparing means between two groups, to address the research question and investigate the effectiveness of Snore Fix in reducing snoring.

The analysis yielded compelling findings, providing valuable insights into SnoreRx’s inquiry. The results indicated that subjects using Snore Fix were less likely to snore than subjects […]

By |2024-01-24T20:54:53+00:00January 1st, 2024|Biostatistics, Business|Comments Off on Snore Fix
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