Life Sciences

Working With and Interpreting COVID-19 DataIn this video, you will learn how to prepare and clean data and build interactive maps using COVID-19 data from Johns Hopkins University.
Technically Speaking QbD: Using DOE to Increase Knowledge of the Process and Design SpaceDiscover when to apply design of experiments and how to identify different strategies to suit a variety of experimental needs.
Technically Speaking Analytical Method DevelopmentDiscover a new approach that will enable to you to expend as few resources as possible while maximizing the information you get from an assay.
Technically Speaking Pharmaceutical Method TransferConduct a successful analytical method transfer with time-saving statistical methods. In this webinar, you’ll learn new best practices to help streamline testing protocols.
Technically Speaking Visualization and Analysis in Oncology Trials Using RECISTLearn how specialized interactive visualization reports can help you more effectively evaluate early efficacy signals in oncology therapeutic studies.
Analytically Speaking Operational Excellence in Pharmaceutical ManufacturingPer Vase of pharmaceutical engineering company NNE provides a scientific approach to process optimization.
Technically Speaking Pharmaceutical Product StabilityLearn how to navigate pharmaceutical regulatory requirements with robust analytics.
Explorers Improving Product Reliability With Quality By DesignLearn leading-edge new strategies to improve product reliability in the pharmaceutical industry.
Explorers Reproducible Experimentation for Diagnostically Driven Drug ResearchMatt Wongchenko and Russ Wolfinger discuss strategies for leveraging data and statistical tools to achieve better, reproducible science.
Explorers Modern Genomic Methods for Crop Improvement in Breeding ProgramsEric Jackson and Kelci Miclaus discuss new strategies to increase production and drive selection of healthier crops.
Technically Speaking Clinical Trial Safety Analysis With JMP ClinicalConsolidate your clinical trial workflows by providing interactive reviews for medical monitors, reviewers and writers. This randomized controlled trial case study shows you how!
Life Sciences Best Practices for Automating the Creation of Adverse Event NarrativesIdentify the source of data quality issues and reduce trial costs (while improving your process)!
Life Sciences State of the Art Strategies for Clinical Trial MonitoringIdentify the source of data quality issues and reduce trial costs (while improving your process)!
Life Sciences Getting Started with JMP Clinical 5.0Seeking medical monitors that desire bring more focus and understanding of their clinical data.This three-part presentation provides a step-by-step guide for data preparation and analysis.
Life Sciences Quality by Design and the Life SciencesJoin Principal Consultant Heath Rushing as he examines Installation Qualification (IQ), Operation Qualification (OP), Performance Qualification (PQ) and Quality by Design (QbD) within the development of medical devices.
Life Sciences Genomic Selection for Plant BreedingSee how predictive modeling aids new insights that aren’t possible with classical phenotypic selection.
Life Sciences Multiple Testing Correction: Why, When and HowCalling all JMP Clinical and Genomics Users: Learn how to administer correction of significance results to avoid false claims.
Life Sciences Adverse Event Signal Detection Using Bayesian Hierarchical ModelingA tutorial on how to use JMP is used to streamline the review of MCMC diagnostics and the analysis of posterior probabilities.
Life Sciences Considerations with mRNA-seq Data AnalysisThe ins and outs of mRNA-seq including helpful instructions on special methods for data treatment.
Life Sciences Subgroup Analyses and Time WindowsCustomize your safety data analysis with these two great tools in JMP Clinical.
Life Sciences Gene Expression Analysis for Absolute BeginnersDon't have a statistical background but want to understand analysis of gene expression data? No problem! This intro will walk you through the basic steps.
Life Sciences Predictive Modeling in the Life SciencesThis webinar reviews tools for comparing a large pool of potential models and ways to identify the usefulness of a particular model.
Life Sciences Disproportionality Analysis and its Application to Spontaneously-Reported Adverse Events in PharmacovigilanceCommon methods to measure disproportionality: Richard Zink provides the latest tips on measuring adverse effects after your drug has reached the market.
Life Sciences Identifying Drug-Induced Liver InjuryDid you know that Drug-induced liver injury (DILI) is the most common cause of safety-related drug marketing withdrawals? See how JMP Clinical can uncover cases of DILI using Hy’s Law.
Life Sciences Fraud Detection in Clinical TrialsAvoid putting your clinical development program at risk. See the features in JMP Clinical that help identify unusual and potentially fraudulent data.
Life Sciences Meta-Analysis of Genomics DataLearn how to combine research results from multiple studies in JMP Genomics, both for gene expression data and genetic association studies (GWAS).
Life Sciences Analyzing Adverse Events with JMP ClinicalDiscover innovative techniques that let you explore and display adverse event data in a variety of ways, revealing trends and hidden patterns.